What Will Still Matter in Tech by 2035

TechButMakeItReal

This video breaks down 5 future-proof industries with both techy and less-techy roles that are scaling across North America and Europe.  It’s made for mid-career tech professionals based in the U.S., Canada, the UK, or the EU - especially those navigating their next move post-layoffs, burnout, or skill plateau.  I focus on these markets because I’ve worked in them directly and I only speak to what I’ve personally experienced. This video is packed with real stats, salary insights, and practical paths that still scale.  🚀 Covered in this video: 00:00 Intro  00:52 Cybersecurity 02:27 Techy jobs in CyberSec 02:58 Less-techy jobs in CyberSec  03:52 Cloud Computing & DevOps 05:24 Techy jobs in Cloud 05:50 Less-techy jobs in Cloud  06:35 AI Ethics & Responsible AI roles 08:16 Techy jobs in AI Ethics 08:40 Less-techy jobs in AI Ethics  09:45 Data Science, Robotics & IoT 11:17 Techy jobs in Data Science 11:40 Less-techy jobs in Data Science  12:30 Biotech, Climate Tech, and Health Tech 13:50 Techy jobs in ScienceTech 14:15 Less-techy jobs in ScienceTech  👩‍💻 This video is especially useful for: • Career changers in North America or Europe • Students planning for the future in those markets • Tech professionals who want to stay ahead of trends • Anyone seriously exploring future job opportunities in the West  📊 Data sources: Harvard News (2024–2025) McKinsey & Company – Global AI Survey (2025) LinkedIn – The Impact of AI on the Job Market (2024) Forbes – AI Governance in 2025 PwC – AI's Impact on Jobs, 2025 Elon University Vector Institute Salary data from Levels.fyi  💡 Subscribe if you're in the U.S., Canada, or Europe and want content that's actually tailored to your tech job market.  Note: This video focuses on job markets in the U.S., Canada, and Europe. Hiring practices, salaries, and career paths may be completely different in other regions.  #Cybersecurity #CloudComputing #AIEthics #Robotics #IoT #Biotech #Careers2030

Transcript

00:00Hi, this is Daria. Today we're talking about the future of tech jobs and focusing specifically on

00:05the next 10 to 15 years. There are some very clear trends we can bank on even now. I will

00:09be talking

00:10about the roles that already show very strong momentum and are guaranteed to keep growing. Now,

00:15I didn't want to make yet another video talking about AI. I want it to be very actionable and

00:20also suitable for people with various backgrounds, whether it's tech, non-tech, business, science,

00:26etc. So here's what I'm going to cover. I'll walk you through specific fields, not just roles that

00:32will dominate the tech market in the next 15 years. For each, I will give proven stats and numbers that

00:38will explain why those are the jobs of the next 10 years. I will also discuss less techie and more

00:44techie options to show you the variety of roles that exist out there. And then we'll briefly talk

00:49about the salaries in different parts of the world, starting with cybersecurity. Now, what is

00:54cybersecurity? Cybersecurity is the practice of defending computers, servers, mobile devices,

01:00networks, and data from malicious attacks. It includes firewalls that block threats, systems

01:05that detect intrusions in real time, encryption that keeps sensitive data safe, and response teams

01:10that act fast when a breach happens. If it touches the internet, it's a target, and someone needs to be

01:16there to secure it. Now, why is it the job of the future? Cyber threats increase in volume and

01:21complexity. Every year, attackers use more sophisticated tools to target everything from

01:26small businesses to infrastructure. And on top of that, AI is now being used by both attackers

01:31and defenders. Hackers use AI to automate phishing, crack passwords, and find vulnerabilities faster

01:37than ever. Security teams are using AI for real-time threat detection and incident response. Add the

01:43explosion of the remote work, cloud adoption, and IoT, and the need for security expert is only

01:49accelerating. Now, let's talk about the numbers. There is a massive market demand. AI and cybersecurity

01:54is projected to hit $102 billion by 2032. And this is the growth from 24.8 in 2024. Number two,

02:04also, there is a severe talent gap. Cybersecurity rules remain to be unfilled globally. Exploding demand.

02:11Cybersecurity job growth is 267%. This is three times faster than any other job in tech. AI adoption

02:21is becoming mainstream. 44% of companies already use AI to detect cyber threats. Now, let's talk about

02:28the roles. We're starting with more techie. Cybersecurity engineer. They design secure systems

02:33and infrastructure. They manage firewalls and monitor network activity. Number two, testers and ethical

02:39hackers. They simulate cyber attacks to find vulnerabilities before real hackers do. Incident

02:45responders. They investigate security breaches. They contain threats and restore system during a cyber

02:51event. And security architects. They develop the overall security framework and strategy for the

02:56entire company. Now, onto the less techie jobs. Sales engineer. They work with a sales team to explain

03:02security product to the client. This is a perfect mix of sales and cybersecurity SME job. You're not

03:08going to need to code every single day, but you need to understand the industry and the trends

03:13deeply to be able to provide the right solution to the customer. Compliance analysts. They ensure the

03:19company meets laws and regulations like GDPR or SOC2 compliance. It's very heavy on documentation,

03:26audits, and policy. Security awareness trainer. Or could also be a program manager on cybersecurity

03:32for a given organization. They build internal training programs to teach employees how to avoid

03:38phishing scams and breaches and all sorts of things. It's a great job if you're good at communication

03:42and training personnel. As for the salaries.

03:51Moving on to cloud. What is cloud? Cloud computing means you don't store your information or data or run

03:57your own software and local machines anymore. It all lives in remote servers maintained by companies

04:02like AWS, Google Cloud, or Azure. The cloud powers everything from TikTok to Zoom to fintech apps.

04:08It's not just storage. It's the infrastructure backbone of modern tech. Why is it a job of the future?

04:14Because companies are migrating to cloud to save money and scale faster. What used to take six months

04:19before in a data center now takes six minutes in AWS. But the complexity has also grown. Businesses are

04:26wasting millions on misconfigured or reused services. Cloud now also powers AI training and deployment.

04:34So cloud talent is mission critical for security, scalability, and cost management. Now onto the

04:40numbers. Cloud market is booming. Just listen to this. It's projected to grow from $722 billion in 2025

04:48to $2.7 trillion by 2034. There is a massive total addressable market. Cloud services expect to hit

04:58$2 trillion by 2032, growing at 22%. AI fueled growth. Generative AI could drive $200 billion to $300

05:07billion in cloud spend by 2030. Cloud has also a very diverse revenue stream. You can go into software as

05:14a

05:14service, platform as a service, infrastructure as a service, backend as a service. There is a large

05:19variety of cloud deployment models. Now talking about the jobs, starting with the more techie ones.

05:24Cloud engineer. They build and maintain the entire cloud infrastructure. DevOps engineer. They automate

05:30deployment and integration pipelines. They manage CICD and do all sorts of optimization of cloud

05:36environment. Site reliability engineer. They ensure the cloud systems are reliable, available,

05:42and scalable with minimum downtime. And lastly, cloud security engineer. They design and enforce

05:47security for cloud-based systems and services. Onto the less techie job. Cloud product manager. They

05:53define features for cloud services and make them usable for developers. It is still a pretty technical

05:58job for a product manager, but at least you don't have to code every single day. Cloud account executive

06:03or cloud sales engineer. They sell cloud infrastructure solutions to businesses and make very good

06:09commissions. Cloud billing analysts. They track and reduce cloud spending across departments. And this

06:15specific role is growing very fast due to rising cloud bills. As for the salaries.

06:26Moving on to AI ethics. What is AI ethics? AI ethics is the field making sure artificial intelligence

06:34systems act fairly, responsibly, and transparently. That means preventing algorithmic bias, ensuring

06:40people know how decisions are made, and protecting user rights. For example, if a system decides who gets a loan

06:46or who gets a job, someone has to make sure that it's being fair in those decisions. Why is it

06:52the job of the

06:53future? AI is rolling out faster than most people can understand it. It's used in hiring, credit score, law

06:59enforcement, healthcare, governments, all sorts of things. We have to put in regulations in place. And

07:04governments are stepping in with new regulations. Public trust in AI is very fragile, and companies

07:10cannot afford ethical failures. As regulations increase, companies are forming dedicated, responsible

07:16AI teams, and they're hiring people who understand both ethics and policy. Speaking of the numbers, it is a very

07:23fast-growing field. AI ethics is expected to grow by 28% by 2029. New roles are being formed. Titles

07:31such as

07:31AI ethics officer and human AI collaboration specialist and all sorts of AI ethics roles will be emerging as

07:40of 2025. Hiring surge. AI job postings jumped 38% between 2020 and 2024 with rising demand for ethics oversight.

07:49And lastly, AI will add $15 trillion to the global economy by 2030. Ethical safeguards are now business

07:57critical. Lastly, there is a massive talent and skill gap. AI is creating 78 million jobs by 2030, but ethics

08:05talent is still in short supply. Now, on to the jobs. More techie ones. AI auditor. They evaluate models for

08:12bias, fairness, and compliance. A machine learning researcher with ethics focus. They build models with

08:18interpretability and safety as primary goals. AI governance engineer. They develop tools to monitor,

08:24document, and control AI systems at scale. Responsible AI engineers. They build pipelines that

08:30prioritize fairness, explainability, and traceability in AI outputs. On to the less techie jobs. AI policy

08:37analyst. Tracks AI-related legislation, advises teams on compliance, and works with public agencies. Ethics

08:43program manager. They build internal programs to ensure AI systems follow ethical standards. AI, PR,

08:50and communications leads. They shape public messaging around AI and prepare for political

08:55and ethical scrutiny. This is the kind of a role where crisis management meets tech. This is a wonderful

09:00job for people who studied philosophy, psychology, public policy, political science, and liberal arts. If you're

09:09one of those people who did one of those degrees at school and you're not sure how to apply it

09:14and where

09:14you can work with that kind of a degree, this is a fantastic opportunity for you. All you need to

09:19do is

09:19to upscale on how AI works. You don't necessarily need to code. You just need to have a very good

09:26understanding

09:26of how AI models get trained. Ask for the salaries. On to the data science and robotics. Now what is

09:39this

09:39field about? Data science is using programming and statistics to extract insights from huge data sets,

09:46predicting customer churn, forecasting demand, or flagging fraud. Robotics is designing and building

09:53machines that automate physical tasks from warehouse bots to surgical robots. IoT is about connecting

10:00physical devices, toasters, speakers, fridges, cars, to the internet so they can collect data and respond

10:09to their environment. Why are these the jobs of the future? We're drowning in data and companies are

10:15turning that data into value. Robotics is transforming labor-intensive industries and IoT is creating smart

10:22devices. Smarter homes, smarter cities, smarter factories. Demand for data scientists, robotics, and IoT

10:29specialists will grow as automation, analytics, and device networks scale. Now onto the numbers. There is a

10:35massive global demand. The robotics market is projected to reach 310 billion by 2030, while IoT is expected to

10:44hit 1.3 trillion. Data-related roles are growing 36% year-over-year with over 11 million new data

10:53and AI jobs

10:54expected by 2035. Cross-industry adoption. Robotics and IoT are scaling fast in logistics, manufacturing, agriculture,

11:02healthcare, and smart cities. There is a significant skill shortage in fields such as robotics and IoT. Now let's

11:08talk about the jobs. More techie ones. Data scientists. They build predictive models and analytics pipelines.

11:15Machine learning engineers. They develop and apply machine learning models to solve big problems with

11:20a lot of data. Robotics engineers. They design and program physical machines and control systems. IoT

11:26architects. They build the infrastructure that connects and secures smart devices at scale. Now onto the less

11:32techie jobs. Machine learning and AI product managers. Even though this is a less techie job,

11:38ML and AI PMs are still pretty technical as they still need to understand how machine learning models

11:44work, how the product development life cycle works with an ML product, as well as to stay on top of

11:49trends. But an AI product manager is still a product manager except they build an AI powered products. AI sales

11:57specialists. They sell IoT, AI or robotics systems to manufacturers, logistics companies, hospitals,

12:05etc. This is a highly specialized sales role as you need to understand the needs of your customers

12:11and how they use AI. Ask for the salaries.

12:20And lastly, science plus tech, such as biotech, climate tech, or health tech. What is it?

12:26This is the intersection of science and tech. Pretty much any scientific field, biology, chemistry,

12:33or physics, and technology. Examples of biotech companies go all the way from lab grown meat to

12:39gene editing. Climate tech builds tools that reduce carbon emission or adapt to environmental changes.

12:46Think carbon capture, energy storage, or sustainable farming. Health tech includes digital diagnostics,

12:52AI-assisted medicine, wearables, and telehealth. Why is it the job of

12:56the future? The global health, food systems, and climate tech are under strain. Tech is stepping in.

13:02Biotech is accelerating drug discovery and personalized medicine. Climate tech is racing

13:07against a warming planet. Health tech is expanding its efficiency and access in care. On to the numbers.

13:14Biotech alone is projected to hit $3.8 trillion by 2030. And climate tech startups raised $70 billion

13:22in VC funding in 2024. Global urgency. Climate change, aging population, and healthcare crisis

13:29are driving long-term investment in science-driven tech. And AI integration. AI is accelerating drug

13:36discovery, diagnostics, energy modeling, and sustainability products. Let's talk about the jobs.

13:42More techie ones. Bioinformatics engineer. They use software to analyze genetic data and biological

13:47patterns. Climate data scientists. They model climate change scenarios and predict environmental

13:52impact. They design tech-enabled tools to be used in diagnostics, monitoring, or treatment. AI researcher

13:59in biotech or climate tech field. They apply machine learning to drug discovery, diagnostics,

14:05or patient outcome prediction. And now on to the less techie jobs. Specialized projects and operations

14:10managers. They keep scientific projects moving across research, engineering, and product. They coordinate

14:16biotech research studies. No lab work. Just pure, specialized project management. This is a wonderful

14:23choice for those of you who did their undergrad in sciences. And if you're not sure about what you

14:29want to do next in life, or you're not sure that you want to pursue the academia, this job is

14:34perfect for

14:35those of you who did science degrees. And perhaps you're not sure how to apply it if you don't want

14:40to go into

14:40academia. This is a perfect intersection of a science background plus technical skills. So all you need

14:47to do is to upskill on the technical side. So if you're one of those people who studied biology, physics,

14:54biochemistry, chemistry, any kind of life sciences, or even mathematical sciences, but you don't want to go

15:02into pure data science or IoT. Science plus tech is a wonderful choice because you work on very

15:08important problems that have worldwide impact. As for the salaries.

15:19So yeah, that's the list. Five areas, dozens of roles, techie and less techie,

15:25but all growing very fast. I hope this was helpful. Till next time. Bye.

Category

Transcript

Comments

Recommended